DeepEarthMY Dataset

The DeepEarthMY dataset is a high-resolution remote sensing dataset specifically created for tropical land-cover semantic segmentation in Malaysia. It consists of 4007 annotated PNG images, each with a resolution of 1024 x 1024 pixels and an average size of 828 KB. The dataset captures diverse land-cover types, including roads, buildings, water bodies, forests, agriculture, barren land, and background. It is organized into two distinct environments—Urban and Rural—to represent different land-use patterns. Each image is manually annotated to provide high-quality labels, making this dataset ideal for training and evaluating deep learning models for semantic segmentation in tropical regions.DeepEarthMY数据集是专为马来西亚热带土地覆盖语义分割任务构建的高分辨率遥感数据集。该数据集包含4007张带标注的PNG图像，单张图像分辨率为1024×1024像素，平均文件大小为828 KB。数据集涵盖了多样化的土地覆盖类型，包括道路、建筑物、水体、森林、农田、裸地以及背景类。其按照两种截然不同的场景划分为城市（Urban）与乡村（Rural）两类，以体现不同的土地利用格局。每张图像均经过人工标注以生成高质量标签，使得该数据集十分适用于训练和评估热带区域语义分割任务的深度学习模型。